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DBMS > Brytlyt vs. Immudb vs. Prometheus vs. Solr vs. TinkerGraph

System Properties Comparison Brytlyt vs. Immudb vs. Prometheus vs. Solr vs. TinkerGraph

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonImmudb  Xexclude from comparisonPrometheus  Xexclude from comparisonSolr  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Open-source Time Series DBMS and monitoring systemA widely used distributed, scalable search engine based on Apache LuceneA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSKey-value storeTime Series DBMSSearch engineGraph DBMS
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitebrytlyt.iogithub.com/­codenotary/­immudb
immudb.io
prometheus.iosolr.apache.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.brytlyt.iodocs.immudb.ioprometheus.io/­docssolr.apache.org/­resources.html
DeveloperBrytlytCodenotaryApache Software Foundation
Initial release20162020201520062009
Current release5.0, August 20231.2.3, April 20229.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAGoGoJavaJava
Server operating systemsLinux
OS X
Windows
BSD
Linux
macOS
Solaris
Windows
z/OS
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infosupports customizable data types and automatic typingyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yes infospecific XML-type available, but no XML query functionality.nono infoImport of XML data possibleyesno
Secondary indexesyesyesnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyesSQL-like syntaxnoSolr Parallel SQL Interfaceno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC protocol
PostgreSQL wire protocol
RESTful HTTP/JSON APIJava API
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnonoJava pluginsno
Triggersyesnonoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoby Federationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual Consistencynone
Foreign keys infoReferential integrityyesnononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesno

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BrytlytImmudbPrometheusSolrTinkerGraph
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